A Gendered Perspective of the Lack of Justice for the Asubpeeschoseewagoon Anishinabek Women of Grassy Narrows
Bibliographic record
Abstract
From 1962 to 1970, the Reed Paper Mill dumped over 9000 kilograms of mercury into the English-Wabigoon River system in Northern Ontario. The Grassy Narrows community, an Anishinabek First Nation, depend on this water system for sustenance and their livelihoods. Their reliance specifically on fish as a primary source of food and income increases their community’s vulnerability to mercury poisoning, which has resulted in lasting impacts on the physical and mental health of their community. Grassy Narrows women are disproportionately impacted by mercury poisoning due to their gendered responsibility to protect water, care work, and child-bearing. This paper examines the failure of the Government of Ontario to uphold the foundational elements of environmental justice for Grassy Narrows women, including distributive fairness, procedural fairness, and corrective action. Recommendations for the Government of Ontario include listening to the needs of Grassy Narrows First Nations and including them in decision-making processes to help ease the generational pain caused by perpetual environmental racism.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.031 | 0.037 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".